Research Intern: Task Adaptivity For Autonomous Agents - Honda Research Institute USA

Research Intern: Task Adaptivity For Autonomous Agents

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Research Intern: Task Adaptivity For Autonomous Agents

Job Number: P25INT-07
​Honda Research Institute USA (HRI-US) is seeking a a motivated and creative research intern to work on a project involving AI agents learning to adapt to new tasks in a multi-agent environment with minimal prior experience. This includes developing and implementing state-of-the-art Meta-RL approaches to enhance adaptability and versatility of artificial systems to collaborate with humans in the real world. The ideal candidate should possess a strong background in artificial intelligence, robotics or a related field, with expertise in deep reinforcement learning and familiarity with generative models. Excellent problem-solving skills, a passion for innovation, and the ability to work effectively both independently and as part of a team are essential for success in this role.
San Jose, CA

 

Key Responsibilities

 
  • Explore and develop novel algorithms and techniques that enable robots to adapt and learn new tasks autonomously in teams
  • Implement one or a combination of algorithms involving meta-learning, transfer learning, lifelong learning, and other similar approaches in simulation
  • Collaborate with a multidisciplinary team of researchers to design and implement cutting-edge solutions.
  • Publish research findings in top-tier conferences and journals

 

Minimum Qualifications

 
  • Currently enrolled as a Ph.D. student in Computer Science, Machine Learning, or a related field at a reputed university (exceptional M.S. candidates with a minimum of 1 year of research experience may also be considered.
  • Research experience in projects related to reinforcement learning, meta learning, transfer learning, lifelong learning
  • Experience in open-source deep learning frameworks (PyTorch, JAX, etc.)

 

Bonus Qualifications​

  • Experience with multi-agents settings (simulation testbeds, etc)
  • Familiarity with post-training language models
  • Strong publication records in topics related to multi-agent system in robotics or AI conferences (RSS, CORL, NeurIPS, AAAI, AAMAS, ICLR, etc.)

 

Years of Work Experience Required  0
Desired Start Date 5/18/2026
Internship Duration 3 Months
Position Keywords ​Meta-Reinforcement Learning, Adaptivity, Meta-Cognitive AI

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- Recent CV 
- A cover letter highlighting relevant background (Optional)

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